Sr Deep Learning Architect Generative Ai Innovation Center jobs at Amazon in United States, Mountain View

Key job responsibilities

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language

- PhD in computer science, machine learning, engineering, or related fields
- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.You will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure.Key job responsibilities
- Influence AWS’ design and specification requirements to meet our business needs for AWS colocation products.
- Investigate and document root-cause failure analysis associated with infrastructure and equipment failures.
- Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes.
- Travel to Data Center sites as required - International & Domestic (up to 50%)A day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.Colo Regional Engineers:
- Possess strong engineering judgement and are able to provide recommendations despite uncertainty.
- Are detail and data oriented.
- Manage engineering projects and consultants.
- Build trust and relationships with different stakeholders.
- Be inclined to get into the field to see things up close.
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Engineering degree in Mechanical Engineering or related discipline
- 4+ years experience in Data Center or Carrier-class Telecommunications design, engineering, and/or operations and maintenance (O&M) of data center critical environment infrastructure.

- Master’s degree in engineering
- 8+ years cumulative data center design experience
- PE or EIT
- Prior project management experience; PMP, PMIPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

As a full stack Software Development Engineer, you’ll architect the next generation of our computer vision and artificial intelligence infrastructure. In this role, you'll drive technical strategy and innovation across our platform, leading the development of foundational services that process billions of photos while enabling revolutionary AI features. You'll shape the technical direction of Amazon Photos' machine learning capabilities and influence how millions of customers interact with their memories.Key job responsibilities* Architect and lead development of large-scale distributed systems handling petabyte-scale photo processing and ML model serving
* Drive technical decisions across multiple teams, establishing patterns and best practices for system-wide integration and operational excellence
* Build and lead high-performing engineering teams, mentoring senior engineers and developing technical talent across the organization
* Partner with ML scientists and research teams to productionize computer vision and AI technologies at scale
* Design and implement foundational services and frameworks that enable rapid innovation and improve team velocity
* Lead architecture reviews and technical deep dives, ensuring solutions meet requirements for scalability, reliability, and performance
* Collaborate with senior leadership and product teams to define roadmaps and drive strategic technical initiatives
* Establish and maintain operational standards, metrics, and practices for critical services running at global scale

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Background in distributed systems and scalable architectures

- Bachelor's degree in computer science or equivalent
- 8+ years of non-internship professional software development experience
- Experience leading large-scale ML/AI infrastructure projects
- Track record of delivering complex technical initiatives across multiple teams
- Deep expertise in cloud computing and microservices architecture
- Experience mentoring engineers and developing technical talent

Key job responsibilities
Key job responsibilities
• Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with executives, line managers and technologists
• Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations
• Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Global Services

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of experience in the industry as a ML practitioner or executive
- Experience participating in the sales lifecycle (directly or indirectly)
- Experience in management consulting or related work
- Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning

As a member of the Specialist SA team in WWSO, you will serve as a trusted technical advisor and subject matter expert for Amazon OpenSearch, helping customers architect scalable, secure, and performant search, analytics solutions. You'll collaborate with solution architects, product teams, and sales to deliver strategic guidance, deep technical expertise, and thought leadership in areas like semantic search, observability, and large-scale log analytics. Whether it's advising startups on search architecture, observability, and security solutions, or helping enterprises integrate OpenSearch with GenAI workflows, you'll play a key role in accelerating customer innovation.
Key job responsibilitiesDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of experience in modern Search technologies (including OpenSearch, Solr, Elasticsearch, Lucene, etc. )

- Experience working with end user or developer communities
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Bachelor's degree
- Experience in designing and operating search and analytics solutions in on-premise or Cloud

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As a Deep Learning Architect, you willDiverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Global Services

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWSPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor’s Degree in Computer Science, Math, or related discipline, and 7+ years of equivalent work experience or 9+ years of related work experience.
- 7+ years of technical engineering experience
- Experience in Information Technology operations